Veranstaltungsverzeichnis
Institute of Physics
- English course offer for exchange students :
- Faculty of Mathematics and Science
- Institute of Physics
| VAK | Title | Type | SWS | Teachers | Degree |
|---|---|---|---|---|---|
| 5.04.614 |
Electrodynamics and Optics
Monday: 16:15 - 17:45, weekly (from 17/04/23) Wednesday: 12:15 - 13:45, weekly (from 12/04/23) Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave |
Lecture | 4 |
Prof. Dr. Martin Silies |
|
| 5.04.232a Ü2 |
Exercise to Signal Processing
Wednesday: 12:15 - 13:45, fortnightly (from 26/04/23) Description: |
Exercises | 1 |
Prof. Dr. Philipp Huke |
|
| 5.04.647 |
Design Fundamentals
Thursday: 14:00 - 18:00, weekly (from 20/04/23) Description: The course is 2 hours per week taken together in 7 appointments from the second week on. You have to book the desired date of your course via StudIP by checking into "Participants", ticking in the left hand menu "Groups" and proceed with the date of your choice. Get yourself registered by clicking the second button from the right "Become a memeber of group..." (cf. Documents). E.g. a lab project in the morning means group A (recommanded if you don't participate at a language corse) or group C. If you are taking a language course you definetly have to choose group C Aim/ learning outcome: Achieving basic knowledge in reading, understanding and production of technical drawings, getting and overview about the features of CAD-Software, knowing about the basic principles of designing and dimensioning of machine elements. Content: Rules and Standards for Technical Drawings, Design Phases: • Functional requirements, performance specifications • Design methodology • Decision processes • Detailing • Manufacturing Drawings • Grouping of parts Basic Machine Elements: • Frames • Joints • Bearings • Sealing The course is 2 hours per week taken together in 7 appointments from the second week on. You have to book the desired date of your course via StudIP by checking into "Participants", ticking in the left hand menu "Groups" and proceed with the date of your choice. Get yourself registered by clicking the second button from the right "Become a memeber of group..." (cf. Documents). E.g. a lab project in the morning means group A (recommanded if you don't participate at a language corse) or group C. If you are taking a language course you definetly have to choose group C Aim/ learning outcome: Achieving basic knowledge in reading, understanding and production of technical drawings, getting and overview about the features of CAD-Software, knowing about the basic principles of designing and dimensioning of machine elements. Content: Rules and Standards for Technical Drawings, Design Phases: • Functional requirements, performance specifications • Design methodology • Decision processes • Detailing • Manufacturing Drawings • Grouping of parts Basic Machine Elements: • Frames • Joints • Bearings • Sealing |
Lecture | - |
Prof. Dr. Olaf Helms |
|
| 5.04.6611 |
Advanced Optical Spectroscopy
Tuesday: 12:15 - 13:45, weekly (from 11/04/23) Description: |
Seminar | - |
Dr. rer. nat. Sandra Koch Prof. Dr. Walter Neu, Dipl.-Phys. Markus Schellenberg |
|
| 5.04.633 |
Optical Systems
Monday: 12:15 - 13:45, weekly (from 17/04/23) Description: Here is a list of the topics covered in the lecture: Fundamentals of optics and theoretical models of light Ray optics, geometrical optics, validity range and applications Behaviour and properties of EM waves and applications Optical imaging Imaging construction elements Microscopy Colours Set-up and function of selected optical systems for illumination and metrology Optical Fibers Here is a list of the topics covered in the lecture: Fundamentals of optics and theoretical models of light Ray optics, geometrical optics, validity range and applications Behaviour and properties of EM waves and applications Optical imaging Imaging construction elements Microscopy Colours Set-up and function of selected optical systems for illumination and metrology Optical Fibers |
Lecture | - |
Markus Schellenberg |
|
| 5.04.614 Ü2 |
Exercises to Electrodynamics and Optics
Tuesday: 10:15 - 11:45, weekly (from 18/04/23) Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave |
Exercises | 2 |
Mohamed Shehata Prof. Dr. Martin Silies |
|
| 5.04.654 |
Hyperloop Systems
Monday: 18:00 - 19:00, weekly (from 17/04/23), weekly Seminar Tuesday: 16:00 - 18:00, weekly (from 11/04/23) Description: Dies ist die Bachelor-Veranstaltung. Das Modul "Hyperloop Systems" wird für Studenten ab dem 3. Semester empfohlen, obwohl es auch einige Projekte für frühere Semester gibt. Das erste Treffen findet nach Absprache per Mail statt. Die Kommunikation erfolgt virtuell. Ab dem 12.04.2021 findet das Vacuum Transport Research Seminar statt (https://www.vacuumtransport.org). Für den Masterstudiengang suchen Sie bitte nach "Advanced Hyperloop Studies". Dies ist die Bachelor-Veranstaltung. Das Modul "Hyperloop Systems" wird für Studenten ab dem 3. Semester empfohlen, obwohl es auch einige Projekte für frühere Semester gibt. Das erste Treffen findet nach Absprache per Mail statt. Die Kommunikation erfolgt virtuell. Ab dem 12.04.2021 findet das Vacuum Transport Research Seminar statt (https://www.vacuumtransport.org). Für den Masterstudiengang suchen Sie bitte nach "Advanced Hyperloop Studies". |
Practical training | 4 |
Prof. Dr. Walter Neu, Dipl.-Phys. Prof. Dr.-Ing. Thomas Schüning |
|
| 5.04.4234 |
Wind Physics Measurement Project
Monday: 12:15 - 13:45, weekly (from 17/04/23) Description: Case study like problems based on real wind data will be solved on at least four important aspects in wind physics. The course will comprise lectures and assignments as well as self-contained work in groups of 3 persons. The content consist of the following four main topics, following the chronological order of the work process: Data handling: - measurements - measurement technology - handling of wind data - assessment of measurement artefacts in wind data - preparation of wind data for further processing Energy Meteorology: - geographical distribution of winds - wind regimes on different time and length scales - vertical wind profile - distribution of wind speed - differences between onshore and offshore conditions. Measure – Correlate – Predict (MCP): - averaging of wind data - bin-wise averaging of wind data - long term correlation and long term correction of wind data - sources of long term wind data. LIDAR (Light detection and ranging): - analyses and conversion of data from LIDAR measurements Case study like problems based on real wind data will be solved on at least four important aspects in wind physics. The course will comprise lectures and assignments as well as self-contained work in groups of 3 persons. The content consist of the following four main topics, following the chronological order of the work process: Data handling: - measurements - measurement technology - handling of wind data - assessment of measurement artefacts in wind data - preparation of wind data for further processing Energy Meteorology: - geographical distribution of winds - wind regimes on different time and length scales - vertical wind profile - distribution of wind speed - differences between onshore and offshore conditions. Measure – Correlate – Predict (MCP): - averaging of wind data - bin-wise averaging of wind data - long term correlation and long term correction of wind data - sources of long term wind data. LIDAR (Light detection and ranging): - analyses and conversion of data from LIDAR measurements |
Lecture | - |
Prof. Dr. Martin Kühn Dr. Matthias Wächter, Dipl.-Phys. M. Sc. Arjun Anantharaman |
|
| 5.06.M203 |
Simulation of Renewable Energy Systems
Friday: 10:15 - 11:45, weekly (from 14/04/23) Description: Introduction to Software for the Simulation of Renewable Energy Systems Introduction to Software for the Simulation of Renewable Energy Systems |
Lecture | 2 |
Dr. Herena Torio Dr. rer. nat. Tanja Behrendt |
|
| 5.06.M201 |
Sustainability of Renewable Energy
Thursday: 08:15 - 11:45, weekly (from 13/04/23) Description: The module “Sustainability of RE Systems” provides the theoretical background for understanding main concepts and interdisciplinary scientific methods from the context as well as their role in the sustainability debate. Main topics and methods which are focus of the course are: - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Resilience and its operationalisation for energy systems - Methods for developing and assess socio-technical scenarios After successful completion of the module students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard The module “Sustainability of RE Systems” provides the theoretical background for understanding main concepts and interdisciplinary scientific methods from the context as well as their role in the sustainability debate. Main topics and methods which are focus of the course are: - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Resilience and its operationalisation for energy systems - Methods for developing and assess socio-technical scenarios After successful completion of the module students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard |
Lecture | 4 |
Dr. Herena Torio |
|
| 5.04.634 Ü1 |
Exercises to Applied Mechanics
Wednesday: 08:15 - 09:45, weekly (from 12/04/23) Description: Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory |
Exercises | 2 |
Prof. Dr.-Ing. Florian Schmidt |
|
| 5.04.4666 |
Personalized Medicine
Friday: 10:15 - 11:45, weekly (from 14/04/23) Friday: 12:15 - 13:45, weekly (from 14/04/23) Description: 2 SWS Vorlesung als Blockveranstaltung + Praktikum (Block nach Absprache) Dozent: Prof. Dr. rer. nat. Thorsten Schmidt, thorsten.schmidt1@uni-oldenburg.de 2 SWS Vorlesung als Blockveranstaltung + Praktikum (Block nach Absprache) Dozent: Prof. Dr. rer. nat. Thorsten Schmidt, thorsten.schmidt1@uni-oldenburg.de |
Lecture | - |
Prof. Dr. Thorsten Schmidt |
|
| 5.04.4679 |
Advanced Hyperloop Studies
Monday: 18:00 - 19:00, weekly (from 17/04/23), weekly Seminar Tuesday: 16:00 - 18:00, weekly (from 11/04/23) Description: Dies ist die Master-Veranstaltung. Das erste Treffen findet nach Absprache per Mail statt. Die Kommunikation erfolgt virtuell. Dies ist die Master-Veranstaltung. Das erste Treffen findet nach Absprache per Mail statt. Die Kommunikation erfolgt virtuell. |
Forschungsseminare | - |
Prof. Dr. Walter Neu, Dipl.-Phys. Prof. Dr.-Ing. Thomas Schüning Lukas Eschment |
|
| 5.04.233a |
Physical Metrology
Monday: 10:15 - 11:45, weekly (from 17/04/23) Description: |
Lecture | 2 |
Prof. Dr. Philipp Huke |
|
| 5.04.471 |
Quantum Structure of Matter
Wednesday: 14:15 - 15:45, weekly (from 12/04/23), Location: W03 1-156 Thursday: 08:15 - 09:45, weekly (from 13/04/23), Location: W32 1-113 Description: |
Lecture | 4 |
Prof. Dr. Caterina Cocchi |
|
| 5.04.4071 |
Fluid Dynamics II / Fluiddynamik II
Wednesday: 08:15 - 09:45, weekly (from 12/04/23) Description: Das zentrale Thema dieser Vorlesung sind turbulente Strömungen. Es werden Aspekte der numerischen Modellierung als auch der statistischen Charakterisierung behandelt (Reynolds-Gleichung, Schließungsproblem und Schließungsansätze, Turbulenzmodelle: Kaskadenmodelle - Stochastische Modelle) Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." Das zentrale Thema dieser Vorlesung sind turbulente Strömungen. Es werden Aspekte der numerischen Modellierung als auch der statistischen Charakterisierung behandelt (Reynolds-Gleichung, Schließungsproblem und Schließungsansätze, Turbulenzmodelle: Kaskadenmodelle - Stochastische Modelle) Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." |
Lecture | 2 |
Prof. Dr. Joachim Peinke |
|
| 5.04.616 |
Mathematical Methods for Physics and Engineering II
Friday: 12:15 - 13:45, weekly (from 14/04/23) Description: %%aim/ learning outcomes%% To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering %%content%% Matrices and vector spaces (linear vector spaces, basis, norm, matrices, matrix operations, determinant, inverse matrix, eigenvalue decomposition) Quadratic forms Linear equations (Gauss elimination, least-squares solution) Functions of multiple variables (stationary points, constrained optimisation using Lagrange multipliers) Fourier series %%aim/ learning outcomes%% To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering %%content%% Matrices and vector spaces (linear vector spaces, basis, norm, matrices, matrix operations, determinant, inverse matrix, eigenvalue decomposition) Quadratic forms Linear equations (Gauss elimination, least-squares solution) Functions of multiple variables (stationary points, constrained optimisation using Lagrange multipliers) Fourier series |
Lecture | 2 |
Prof. Dr. Simon Doclo |
|
| 5.04.4215 Ü1 |
Exercises to Machine Learning II – Advanced Learning and Inference Methods
Tuesday: 10:15 - 11:45, weekly (from 18/04/23), Übung Description: The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. |
Exercises | 2 |
Prof. Dr. Jörg Lücke Florian Hirschberger Filippos Panagiotou Dmytro Velychko Sebastian Salwig |
|
| 5.04.201a |
Thermodynamics and Statistics
Tuesday: 16:15 - 17:45, weekly (from 11/04/23), Location: W03 1-156, W32 0-005 Thursday: 10:15 - 11:45, weekly (from 13/04/23), Location: W03 1-161 (Hörsaal), W02 1-143 Description: Die Studierenden erlernen die grundlegenden Prinzipien der phänomenologischen Thermodynamik einschließlich der Anwendungen auf dem Gebiet der Maschinen, sowie der mikroskopischen Thermodynamik und Statistik. Die Grundprinzipien werden auch anhand von Schlüsselexperimenten vermittelt. Die Veranstaltung bereitet auch den Besuch des Moduls Theoretische Physik III (Thermodynamik/Statistik) vor. Inhalte: Thermodynamische Zustandsgrößen, Hauptsätze der Thermodynamik, ideale und reale Gase, Potentialfunktionen aus der Legendre-Transformation, irreversible Zustandsänderungen, Kreisprozesse, Aggregatzustände, offene Systeme und Phasenübergänge, Wärmeleitung und Diffusion, statistische Ansätze für Gleichverteilung im Volumen, Entropieänderungen, kinetische Gastheorie, Boltzmann-, Fermi-Dirac- und Bose-Einstein-Statistik, Maxwell Verteilung, Planckscher Strahler, Zustandsänderungen in Quantensystemen. Die Studierenden erlernen die grundlegenden Prinzipien der phänomenologischen Thermodynamik einschließlich der Anwendungen auf dem Gebiet der Maschinen, sowie der mikroskopischen Thermodynamik und Statistik. Die Grundprinzipien werden auch anhand von Schlüsselexperimenten vermittelt. Die Veranstaltung bereitet auch den Besuch des Moduls Theoretische Physik III (Thermodynamik/Statistik) vor. Inhalte: Thermodynamische Zustandsgrößen, Hauptsätze der Thermodynamik, ideale und reale Gase, Potentialfunktionen aus der Legendre-Transformation, irreversible Zustandsänderungen, Kreisprozesse, Aggregatzustände, offene Systeme und Phasenübergänge, Wärmeleitung und Diffusion, statistische Ansätze für Gleichverteilung im Volumen, Entropieänderungen, kinetische Gastheorie, Boltzmann-, Fermi-Dirac- und Bose-Einstein-Statistik, Maxwell Verteilung, Planckscher Strahler, Zustandsänderungen in Quantensystemen. |
Lecture | 4 |
Prof. Dr. Niklas Nilius |
|
| 5.04.4230 |
Oberseminar „Journal Club“ Speech Technology and Hearing Aids
Thursday: 12:15 - 13:45, weekly (from 13/04/23) Description: The participants are actually making a distance from their daily own research thread and implementation towards a wider perspective. They pursue other topics of colleagues and related scientists, which seem to be outside the personal scope or interest, and will yet contribute useful commentary and suggestions. To this, we shall seek literature and pursue intrinsically-motivated study in neighboring and overarching fields of research and education. The results of the study will be grouped systematically and presented in the seminar accordingly. The participants cooperatively work on consensus regarding the scientific merit of publications in terms fundamental relevance or potential utility for own scientific generalization. The themes of the seminar comprise the whole bandwidth of scientific literature on signal processing, machine learning and acoustics with applications in speech technology and hearing aids, for instance, single- and multichannel noise reduction, acoustic sensor networks, digital speech communication, binaural transmission and perception. The graduate participants prove the enhanced perspective obtained by the seminar by enhanced motivation and practice for proposal writing. The undergraduate participants can deliver an oral examination or contribute a formal presentation on a given topic. The participants are actually making a distance from their daily own research thread and implementation towards a wider perspective. They pursue other topics of colleagues and related scientists, which seem to be outside the personal scope or interest, and will yet contribute useful commentary and suggestions. To this, we shall seek literature and pursue intrinsically-motivated study in neighboring and overarching fields of research and education. The results of the study will be grouped systematically and presented in the seminar accordingly. The participants cooperatively work on consensus regarding the scientific merit of publications in terms fundamental relevance or potential utility for own scientific generalization. The themes of the seminar comprise the whole bandwidth of scientific literature on signal processing, machine learning and acoustics with applications in speech technology and hearing aids, for instance, single- and multichannel noise reduction, acoustic sensor networks, digital speech communication, binaural transmission and perception. The graduate participants prove the enhanced perspective obtained by the seminar by enhanced motivation and practice for proposal writing. The undergraduate participants can deliver an oral examination or contribute a formal presentation on a given topic. |
Seminar | - |
Prof. Dr. Gerald Enzner |
|
| 5.04.4882 |
Many-body perturbation theory
Wednesday: 10:15 - 11:45, weekly (from 12/04/23) Description: This course is aimed to provide an overview of the advanced methods of quantum mechanics for the study of many-particle problems in condensed-matter physics. The formalism of the single-particle and two-particle Green’s functions will be introduced and their connections with state-of-the-art numerical methods for electronic-structure theory will be disclosed. The course is primarily aimed to graduate students with a study and/or research profile in theoretical physics. However, the participation of graduate students and young researchers with an experimental background is equally welcome. Solid knowledge of quantum mechanics is a must to attend this course. Familiarity with theoretical solid-state physics and with the electronic-structure theory methods is a plus. This course is aimed to provide an overview of the advanced methods of quantum mechanics for the study of many-particle problems in condensed-matter physics. The formalism of the single-particle and two-particle Green’s functions will be introduced and their connections with state-of-the-art numerical methods for electronic-structure theory will be disclosed. The course is primarily aimed to graduate students with a study and/or research profile in theoretical physics. However, the participation of graduate students and young researchers with an experimental background is equally welcome. Solid knowledge of quantum mechanics is a must to attend this course. Familiarity with theoretical solid-state physics and with the electronic-structure theory methods is a plus. |
Seminar | - |
Prof. Dr. Caterina Cocchi |
|
| 5.04.4215 |
Machine Learning II – Advanced Learning and Inference Methods
Thursday: 12:15 - 13:45, weekly (from 13/04/23) Description: The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. |
Lecture | 2 |
Prof. Dr. Jörg Lücke |
|
| 5.04.616 Ü1 |
Exercises Mathematical Methods for Physics and Engineering II
Wednesday: 10:15 - 11:45, weekly (from 19/04/23) Description: |
Exercises | 2 |
Henri Gode Wiebke Middelberg, M. Sc. Klaus Brümann Prof. Dr. Simon Doclo |
|
| 5.04.4071 Ü |
Übung zu Fluid Dynamics II / Fluiddynamik II
Wednesday: 10:15 - 11:45, weekly (from 12/04/23) Description: |
Exercises | 2 |
Prof. Dr. Joachim Peinke |
|
| 5.04.4072 Ü1 |
Exercises to Computational Fluid Dynamics I
Thursday: 16:15 - 17:45, weekly (from 13/04/23) Description: |
Exercises | - |
Dr. Bernhard Stoevesandt Dr. Hassan Kassem |
|
| 5.04.4072 |
Computational Fluid Dynamics I
Tuesday: 12:15 - 15:45, weekly (from 11/04/23) Description: Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD I: The Navier-Stokes equations, introduction to numerical methods, finite- differences, finite-volume methods, linear equation systems, turbulent flows, incompressible flows, compressible flows, efficiency and accuracy Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD I: The Navier-Stokes equations, introduction to numerical methods, finite- differences, finite-volume methods, linear equation systems, turbulent flows, incompressible flows, compressible flows, efficiency and accuracy |
Lecture | - |
Dr. Hassan Kassem Dr. Bernhard Stoevesandt |
|
| 5.04.471 Ü2 |
Exercises to Quantum Structure of Matter
Tuesday: 18:15 - 19:45, weekly (from 18/04/23) Description: |
Exercises | 2 |
Prof. Dr. Caterina Cocchi Dr. Michele Guerrini |
|
| 5.04.241a |
Numerical Methods
Tuesday: 08:15 - 09:45, weekly (from 11/04/23) Description: Themen der Veranstaltung sind endliche Zahlendarstellung und numerische Fehler, grundlegende numerische Methoden (Differentiation und Integration), lineare und nichtlineare Gleichungssysteme, Funktionenminimierung, Modellierung von Messdaten, diskrete Fouriertransformation, gewöhnliche und partielle Differentialgleichungen, sowie weitere grundlegende numerische Methoden. In der Übung werden die in der Vorlesung erlernten numerischen Methoden teilweise selbst implementiert (programmiert) und auf physikalische Problemstellungen aus Mechanik, Elektrodynamik etc. angewandt. Die Studierenden erlangen theoretische Kenntnisse der grundlegenden numerischen Methoden sowie praktische Fertigkeiten zur Anwendung dieser theoretischen Kenntnisse zur Modellierung und Simulation physikalischer Phänomene auf dem Computer. Themen der Veranstaltung sind endliche Zahlendarstellung und numerische Fehler, grundlegende numerische Methoden (Differentiation und Integration), lineare und nichtlineare Gleichungssysteme, Funktionenminimierung, Modellierung von Messdaten, diskrete Fouriertransformation, gewöhnliche und partielle Differentialgleichungen, sowie weitere grundlegende numerische Methoden. In der Übung werden die in der Vorlesung erlernten numerischen Methoden teilweise selbst implementiert (programmiert) und auf physikalische Problemstellungen aus Mechanik, Elektrodynamik etc. angewandt. Die Studierenden erlangen theoretische Kenntnisse der grundlegenden numerischen Methoden sowie praktische Fertigkeiten zur Anwendung dieser theoretischen Kenntnisse zur Modellierung und Simulation physikalischer Phänomene auf dem Computer. |
Lecture | - |
Prof. Dr. Volker Hohmann, Dipl.-Phys. |
|
| 5.04.4663 |
Physics with Intense Laser Pulses
Wednesday: 14:00 - 18:00, weekly (from 12/04/23) Description: The students acquire broad experimental knowledge of the application of intense light from femtosecond and high power laser systems. They should be acquainted with the interaction of intense light with matter in general and with respect to important scientific and technical applications (in industry) such as laser material processing, high field physics (i.e. laser matter interaction at high intensity), laser generated particle and radiation sources of ultrashort duration and/or ultrashort wavelength etc. Content: Femtosecond and high power laser systems and its application, absorption of intense laser light, basics of laser matter interaction at high intensity, diagnostics, applications in micro machining, laser generated ultrashort radiation such as high-order laser harmonics and femtosecond K-alpha-sources and keV and MeV electron and ion sources and their application to micro fabrication micro and nano analysis.; atto physics, strong field physics The students acquire broad experimental knowledge of the application of intense light from femtosecond and high power laser systems. They should be acquainted with the interaction of intense light with matter in general and with respect to important scientific and technical applications (in industry) such as laser material processing, high field physics (i.e. laser matter interaction at high intensity), laser generated particle and radiation sources of ultrashort duration and/or ultrashort wavelength etc. Content: Femtosecond and high power laser systems and its application, absorption of intense laser light, basics of laser matter interaction at high intensity, diagnostics, applications in micro machining, laser generated ultrashort radiation such as high-order laser harmonics and femtosecond K-alpha-sources and keV and MeV electron and ion sources and their application to micro fabrication micro and nano analysis.; atto physics, strong field physics |
Lecture | 4 |
Prof. Dr.habil. Ulrich Teubner |
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| 5.04.616 Ü4 |
Exercises Mathematical Methods for Physics and Engineering II
Wednesday: 16:15 - 17:45, weekly (from 19/04/23) Description: |
Exercises | 2 |
Henri Gode Wiebke Middelberg, M. Sc. Klaus Brümann |
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| 5.04.643 |
Micro Technology
Monday: 12:15 - 15:45, fortnightly (from 24/04/23) Description: Aim/learning outcomes: Today micro-electro-mechanical systems (MEMS) and micro opto-electro-mechanical systems (MOEMS) and components are important in daily life and industry. The students get introduced to the modern field of micro technology. In addition this is also of relevance for those who are interested in sensors, in manufacturing of micro electronic components or in special applications of optics and lasers, e.g. laser processing for the micro and nano world. The students get also prepared to make use of tha tknowledge industry. Some practical work is demontrated in the laboratory. Content: Basic technology & methods, processes, materials, thin layers, deposition (e.g., evaporation, sputtering, CVD, diffusion, doping etc.), etching; particular emphasis is put on optical methods such as lithography, deep lithography, LIGA, laser micro machining, femtosecond laser applications. Aim/learning outcomes: Today micro-electro-mechanical systems (MEMS) and micro opto-electro-mechanical systems (MOEMS) and components are important in daily life and industry. The students get introduced to the modern field of micro technology. In addition this is also of relevance for those who are interested in sensors, in manufacturing of micro electronic components or in special applications of optics and lasers, e.g. laser processing for the micro and nano world. The students get also prepared to make use of tha tknowledge industry. Some practical work is demontrated in the laboratory. Content: Basic technology & methods, processes, materials, thin layers, deposition (e.g., evaporation, sputtering, CVD, diffusion, doping etc.), etching; particular emphasis is put on optical methods such as lithography, deep lithography, LIGA, laser micro machining, femtosecond laser applications. |
Lecture | - |
Prof. Dr.habil. Ulrich Teubner |
|
| 5.04.4074 Ü1 |
Exercises to Computational Fluid Dynamics II
Thursday: 16:15 - 17:45, weekly (from 01/06/23), Location: W02 2-249 Thursday: 16:15 - 17:45, weekly (from 08/06/23), Location: A04 1-139 (Rechnerraum) Description: |
Exercises | 1 |
Dr. Bernhard Stoevesandt Dr. Hassan Kassem |
|
| 5.06.M207 |
Photovoltaic Systems
Thursday: 14:15 - 17:45, weekly (from 13/04/23) Description: |
Lecture | 4 |
Hans-Gerhard Holtorf, PhD Dr. rer. nat. Tanja Behrendt |
|
| 5.04.666 |
Lasers in Medicine I
Tuesday: 10:15 - 11:45, weekly (from 11/04/23) Description: The students are enabled to understand basic laser biotissue interaction processes based on the knowledge of optical and thermal properties of biotissue. The students are able to describe the principle function of a laser, distinguish between the different laser types and designs regarding medical laser systems. The students have a basic knowledge on beam guiding techniques, medical applicators, and safety requirements. The students gain an overview on lasers in medicine and a first insight into clinical laser applications via an excursion to a clinic. Content: - Optical and thermal properties of biotissue - Basic interaction processes of light and biotissue - Medical laser systems - Beam guiding and applicators - Introduction to lasers in medicine - Laser safety and regulatory affairs in medicine - Insight into clinical laser therapy (Excursion) The students are enabled to understand basic laser biotissue interaction processes based on the knowledge of optical and thermal properties of biotissue. The students are able to describe the principle function of a laser, distinguish between the different laser types and designs regarding medical laser systems. The students have a basic knowledge on beam guiding techniques, medical applicators, and safety requirements. The students gain an overview on lasers in medicine and a first insight into clinical laser applications via an excursion to a clinic. Content: - Optical and thermal properties of biotissue - Basic interaction processes of light and biotissue - Medical laser systems - Beam guiding and applicators - Introduction to lasers in medicine - Laser safety and regulatory affairs in medicine - Insight into clinical laser therapy (Excursion) |
Lecture | 2 |
Prof. Dr. Walter Neu, Dipl.-Phys. |
|
| 5.04.4074 |
Computational Fluid Dynamics II
Tuesday: 12:15 - 15:45, weekly (from 30/05/23) Description: Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD II: RANS, URANS, LES, DNS, filtering / averaging of Navier- Stokes equations, Introduction to different CFD models, Application of these CFD models to defined problems from rotor aerodynamics and the atmospheric boundary layer. Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD II: RANS, URANS, LES, DNS, filtering / averaging of Navier- Stokes equations, Introduction to different CFD models, Application of these CFD models to defined problems from rotor aerodynamics and the atmospheric boundary layer. Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." |
Lecture | 2 |
Dr. Bernhard Stoevesandt Dr. Hassan Kassem |
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| 5.04.4702 |
Computing
Monday: 10:15 - 11:45, weekly (from 17/04/23) Description: |
Lecture | 2 |
Prof. Dr. Mathias Dietz |
|
| 5.04.6610 |
Modern Methods in Optical Microscopy
Tuesday: 12:15 - 13:45, weekly (from 11/04/23) Description: Please subscribe as well in 5.04.4667 Vorlesung: Biophotonics to get necessary documents and information. The seminar "Modern Methods in Optical Microscopy" is part of "Advanced Metrology" and might be offered parallel with the seminar of "Biophotonics" (depending on the amount of participants). Examination: presentation in each part. - Demonstrate knowledge, fundamental understanding and critical awareness of current research fields in state-of-the-art optical microscopy. - Personal development through practice of communication, presentation, time management, teamwork, problem solving, project management, critical evaluation, numeracy, and IT skills. - Students are able to prepare a written scientific report on their own and present their results in an appropriate way to the group; in particular to understand, analyze, classify and work on an advanced microscopy topic, thoroughly study the recommended (and further) literature; find and critically check relevant literature make and incorporate their own thoughts, write down and present their results in a mathematically correct and comprehensible way, finish in time. Topics to be covered will include: microscopy, wave optics, optical imaging, spatial/temporal coherence, light generation/detection, e.g.: - Confocal microscopy - Superresolution microscopy - Single Molecule Imaging - Imaging of living tissue - Raman microscopy - Stochastic microscopy Please subscribe as well in 5.04.4667 Vorlesung: Biophotonics to get necessary documents and information. The seminar "Modern Methods in Optical Microscopy" is part of "Advanced Metrology" and might be offered parallel with the seminar of "Biophotonics" (depending on the amount of participants). Examination: presentation in each part. - Demonstrate knowledge, fundamental understanding and critical awareness of current research fields in state-of-the-art optical microscopy. - Personal development through practice of communication, presentation, time management, teamwork, problem solving, project management, critical evaluation, numeracy, and IT skills. - Students are able to prepare a written scientific report on their own and present their results in an appropriate way to the group; in particular to understand, analyze, classify and work on an advanced microscopy topic, thoroughly study the recommended (and further) literature; find and critically check relevant literature make and incorporate their own thoughts, write down and present their results in a mathematically correct and comprehensible way, finish in time. Topics to be covered will include: microscopy, wave optics, optical imaging, spatial/temporal coherence, light generation/detection, e.g.: - Confocal microscopy - Superresolution microscopy - Single Molecule Imaging - Imaging of living tissue - Raman microscopy - Stochastic microscopy |
Seminar | - |
Markus Schellenberg Prof. Dr. Walter Neu, Dipl.-Phys. Dr. rer. nat. Sandra Koch |
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| 5.04.201a Ü2 |
Exercises to Thermodynamics and Statistics
Thursday: 12:15 - 13:45, weekly (from 20/04/23) Description: |
Exercises | 2 |
Prof. Dr. Niklas Nilius TutorInnen, der Physik |
|
| 5.04.4652 |
Stochastic Processes in Experiments
Thursday: 12:15 - 13:45, weekly (from 13/04/23) Description: Die Studierenden erwerben fortgeschrittene Kenntnisse auf dem Gebiet der nichtlinearen Dynamik experimenteller Systeme. Sie erlangen Fertigkeiten zum sicheren und selbstständigen Umgang mit modernen Konzepten und Methoden der Analyse von Messdaten komplexer Systeme. Sie erweitern ihre Kompetenzen hinsichtlich der Fähigkeiten zur erfolgreichen Bearbeitung anspruchsvoller Probleme mit modernen analytischen und numerischen Methoden, zur selbstständigen Erarbeitung aktueller Fachveröffentlichungen sowie der Bedeutung stochastischer Differentialgleichungen im Kontext unterschiedlicher Anwendungen. Inhalte: Theoretische Grundlagen stochastischer Differentialgleichungen und der Bestimmung ihrer Parameter. Darstellung verschiedener Beispiele für die Schätzung der Parameter stochastischer Differentialgleichungen aus experimentellen Daten unter Berücksichtigung der Besonderheiten der jeweils untersuchten experimentellen Systeme. Die Studierenden erwerben fortgeschrittene Kenntnisse auf dem Gebiet der nichtlinearen Dynamik experimenteller Systeme. Sie erlangen Fertigkeiten zum sicheren und selbstständigen Umgang mit modernen Konzepten und Methoden der Analyse von Messdaten komplexer Systeme. Sie erweitern ihre Kompetenzen hinsichtlich der Fähigkeiten zur erfolgreichen Bearbeitung anspruchsvoller Probleme mit modernen analytischen und numerischen Methoden, zur selbstständigen Erarbeitung aktueller Fachveröffentlichungen sowie der Bedeutung stochastischer Differentialgleichungen im Kontext unterschiedlicher Anwendungen. Inhalte: Theoretische Grundlagen stochastischer Differentialgleichungen und der Bestimmung ihrer Parameter. Darstellung verschiedener Beispiele für die Schätzung der Parameter stochastischer Differentialgleichungen aus experimentellen Daten unter Berücksichtigung der Besonderheiten der jeweils untersuchten experimentellen Systeme. |
Seminar | 2 |
Dr. Matthias Wächter, Dipl.-Phys. |
|
| 5.06.M215 |
Future Power Supply (Lecture)
Monday: 14:15 - 15:45, weekly (from 17/04/23) Description: |
Lecture | 2 |
Prof. Dr. Carsten Agert Babak Ravanbach |
|
| 5.04.616 Ü3 |
Exercises Mathematical Methods for Physics and Engineering II
Wednesday: 16:15 - 17:45, weekly (from 19/04/23) Description: |
Exercises | 2 |
Henri Gode Klaus Brümann Wiebke Middelberg, M. Sc. |
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| 5.04.656 |
Seminar Fortgeschrittene Themen in EP / Advanced Topics in EP
Thursday: 08:15 - 09:45, weekly (from 13/04/23) Description: Participation: 1st -3rd semester. Presentation: Master thesis work in progress or finished; at least one successfully completed specialization module. Bachelor students are welcome as well. Participation: 1st -3rd semester. Presentation: Master thesis work in progress or finished; at least one successfully completed specialization module. Bachelor students are welcome as well. |
Seminar | 2 |
Prof. Dr. Walter Neu, Dipl.-Phys. |
|
| 5.04.4664 |
Laser Design and Beam Guiding
Monday: 12:15 - 15:45, weekly (from 17/04/23) Description: Students acquire advanced knowledge for the design of lasers and laser systems, they also understand the propagation of laser beams and their forming. Content: Design of different laser types; physics of active and passive laser components; beams and resonators; lab work Students acquire advanced knowledge for the design of lasers and laser systems, they also understand the propagation of laser beams and their forming. Content: Design of different laser types; physics of active and passive laser components; beams and resonators; lab work |
Lecture | - |
Prof. Dr. Philipp Huke |
|
| 5.04.471 Ü3 |
Exercises to Quantum Structure of Matter
Monday: 14:15 - 15:45, weekly (from 17/04/23) Description: |
Exercises | 2 |
Prof. Dr. Caterina Cocchi Dr. Ana Maria Valencia Garcia |
|
| 5.04.4235 |
Design of Wind Energy Systems
Tuesday: 16:15 - 17:45, weekly (from 11/04/23), Location: W01 0-008 (Rechnerraum) Thursday: 12:15 - 13:45, weekly (from 13/04/23), Location: W33 0-003 Description: The students attending the course will have the possibility to expand and sharpen of their knowledge about wind turbine design from the basic courses. The lectures include topics covering the whole spectrum from early design phase to the operation of a wind turbine. Students will learn in exercises how to calculate and evaluate design aspects of wind energy converters. At the end of the lecture, they should be able to: + estimate the site specific energy yield, + calculate the aerodynamics of wind turbines using the blade element momentum theory, + model wind fields to obtain specific design situations for wind turbines, + estimate the influence of dynamics of a wind turbine, especially in the context of fatigue loads, + transfer their knowledge to more complex topics such as simulation and measurements of dynamic loads, + assess economic aspects of wind turbines. Introduction to industrial wind turbine design, + rotor aerodynamics and Blade Element Momentum (BEM) theory, + dynamic loading and system dynamics, + wind field modelling for fatigue and extreme event loading, + design loads and design aspects of onshore wind turbines, + simulation and measurements of dynamic loads, + design of offshore wind turbines. The students attending the course will have the possibility to expand and sharpen of their knowledge about wind turbine design from the basic courses. The lectures include topics covering the whole spectrum from early design phase to the operation of a wind turbine. Students will learn in exercises how to calculate and evaluate design aspects of wind energy converters. At the end of the lecture, they should be able to: + estimate the site specific energy yield, + calculate the aerodynamics of wind turbines using the blade element momentum theory, + model wind fields to obtain specific design situations for wind turbines, + estimate the influence of dynamics of a wind turbine, especially in the context of fatigue loads, + transfer their knowledge to more complex topics such as simulation and measurements of dynamic loads, + assess economic aspects of wind turbines. Introduction to industrial wind turbine design, + rotor aerodynamics and Blade Element Momentum (BEM) theory, + dynamic loading and system dynamics, + wind field modelling for fatigue and extreme event loading, + design loads and design aspects of onshore wind turbines, + simulation and measurements of dynamic loads, + design of offshore wind turbines. |
Lecture | 2 |
Prof. Dr. Martin Kühn David Onnen |
|
| 5.04.4667 |
Biophotonics and Spectroscopy
Tuesday: 14:15 - 15:45, weekly (from 11/04/23) Description: Application of atomic and molecular spectroscopy at a wide range of fields, e.g. industrial, biosciences, microscopy, pharmaceutical, environmental, trace analysis: 1. Explain the mechanisms of and fundamental distinctions between molecular and atomic spectroscopy 2. Recognise the issues regarding sensitivity and selectivity of molecular and atomic spectroscopy 3. Evaluate the limitations and analytical issues associated with each method 3. Demonstrate analytical application of these atomic and molecular absorption and emission techniques 4. Discriminate the analytical challenges that can be appropriately solved by these spectroscopic techniques Application of atomic and molecular spectroscopy at a wide range of fields, e.g. industrial, biosciences, microscopy, pharmaceutical, environmental, trace analysis: 1. Explain the mechanisms of and fundamental distinctions between molecular and atomic spectroscopy 2. Recognise the issues regarding sensitivity and selectivity of molecular and atomic spectroscopy 3. Evaluate the limitations and analytical issues associated with each method 3. Demonstrate analytical application of these atomic and molecular absorption and emission techniques 4. Discriminate the analytical challenges that can be appropriately solved by these spectroscopic techniques |
Lecture | - |
Prof. Dr. Walter Neu, Dipl.-Phys. |
|
| 5.04.4257 |
Musical acoustics and digital audio effects
Monday: 14:15 - 15:45, weekly (from 17/04/23) Description: Students learn about the fundamentals of musical acoustics, sound processing and digital audio effects through a mixture of lecture components, student presentations, and hands-on projects. Students learn about the fundamentals of musical acoustics, sound processing and digital audio effects through a mixture of lecture components, student presentations, and hands-on projects. |
Lecture | - |
Kai Siedenburg |
|
| 5.04.4239 |
Wind Physics Students` Laboratory- Wind Turbine Rotor in Turbulent Inflow
Tuesday: 08:00 - 11:45, weekly (from 11/04/23) Description: The “Wind Physics Student's Lab" aims to foster the learning process by own research activities of the students in wind physics and additionally to build up skills for scientific and experimental work and scientific writing. Therefore, this course is also intended as preparation for the master thesis. The course is organized as seminar with integrated work in the laboratory. The students will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. The work in groups and discussion of solutions aims to improve skills in team working. In order to introduce the students to current wind energy research, the course is offered in different versions. These versions represent the work of different research groups at ForWind -University Oldenburg. The seminars will be offered in subsequent semesters or in parallel. The seminar “Wind turbine rotor in turbulent inflow" is connected to the scientific work of the research group Turbulence, Wind Energy and Stochastics (TWIST). In this seminar, turbulent wind fields and their effects on wind turbines will be investigated. Students learn to measure wind flows in high resolutions and how turbulence can be described, investigated and evaluated for different purposes. The students gain a deep understanding of the phenomenon of turbulence. They perform own experiments in a wind tunnel with an active turbulence grid. They learn to establish their own research questions and are encouraged to develop own methods. The seminar consists of three main phases: 1st phase: Preparational learning • building up basic competences • introduction to current research • practical measurements of flows with different sensors in the wind tunnel • evaluation methods of data of turbulent wind flows 2nd phase: Research-based learning • defining own research questions • defining an experimental strategy • planning the experiment • set-up, execution, data acquisition and decommissioning of experiments 3rd phase: Evaluation and documentation • evaluating the experiments • documentation with a short report (paper) • presentation. The “Wind Physics Student's Lab" aims to foster the learning process by own research activities of the students in wind physics and additionally to build up skills for scientific and experimental work and scientific writing. Therefore, this course is also intended as preparation for the master thesis. The course is organized as seminar with integrated work in the laboratory. The students will investigate an individual, self-formulated research question and will be guided by the supervisors through the research-based learning process. The work in groups and discussion of solutions aims to improve skills in team working. In order to introduce the students to current wind energy research, the course is offered in different versions. These versions represent the work of different research groups at ForWind -University Oldenburg. The seminars will be offered in subsequent semesters or in parallel. The seminar “Wind turbine rotor in turbulent inflow" is connected to the scientific work of the research group Turbulence, Wind Energy and Stochastics (TWIST). In this seminar, turbulent wind fields and their effects on wind turbines will be investigated. Students learn to measure wind flows in high resolutions and how turbulence can be described, investigated and evaluated for different purposes. The students gain a deep understanding of the phenomenon of turbulence. They perform own experiments in a wind tunnel with an active turbulence grid. They learn to establish their own research questions and are encouraged to develop own methods. The seminar consists of three main phases: 1st phase: Preparational learning • building up basic competences • introduction to current research • practical measurements of flows with different sensors in the wind tunnel • evaluation methods of data of turbulent wind flows 2nd phase: Research-based learning • defining own research questions • defining an experimental strategy • planning the experiment • set-up, execution, data acquisition and decommissioning of experiments 3rd phase: Evaluation and documentation • evaluating the experiments • documentation with a short report (paper) • presentation. |
Seminar | - |
Dipl.-Ing. (TU) Andreas Hermann Schmidt Dr. Michael Hölling Thomas Messmer |
|
| 5.06.M216 |
Future Power Supply (Seminar)
Wednesday: 14:15 - 15:45, weekly (from 12/04/23) Description: |
Seminar | 2 |
Prof. Dr. Carsten Agert Babak Ravanbach |
|
| 5.04.4587 |
Advanced CFD and wind turbine aerodynamics
Wednesday: 14:15 - 15:45, weekly (from 12/04/23) Description: The aim is that the students learn how to approach all kinds of real numerical problems in CFD and solve them. Everyone is supposed to be set up to date on the current problems and challenges of CFD in aerodynamics and their solutions. Content: CFD wake modeling, grid generators and computational stability, developing fluid structure interaction solvers, detached eddy simulations (DES), turbulent inflow field generation The aim is that the students learn how to approach all kinds of real numerical problems in CFD and solve them. Everyone is supposed to be set up to date on the current problems and challenges of CFD in aerodynamics and their solutions. Content: CFD wake modeling, grid generators and computational stability, developing fluid structure interaction solvers, detached eddy simulations (DES), turbulent inflow field generation |
Seminar | 2 |
Dr. Bernhard Stoevesandt |
|
| 5.06.M211 Ü |
Solar Energy Meteorology
Monday: 14:15 - 15:45, weekly (from 17/04/23) Wednesday: 14:15 - 15:45, weekly (from 12/04/23) Description: Lecturer from Fraunhofer Institute for Solar Energy Systems (ISE) The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. The students will learn about: • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with short exercises. In the last - seminar type - part of the course the students are asked to get a better understanding of lessons learnt by studying and presenting publications related to solar energy meteorology. Lecturer from Fraunhofer Institute for Solar Energy Systems (ISE) The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. The students will learn about: • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with short exercises. In the last - seminar type - part of the course the students are asked to get a better understanding of lessons learnt by studying and presenting publications related to solar energy meteorology. |
Exercises | 2 |
Dr. Jorge Enrique Lezaca Galeano Dr. Thomas Schmidt |
|
| 5.04.4671 |
Tools in Advanced Photonics
Wednesday: 09:00 - 13:00, weekly (from 12/04/23), Labore HS Emden Description: Teaching and learning in this component will be through "hands on" demonstration. This form of teaching and learning is important in acquiring competence and skills and advancing understanding by practical experience. The students learn to consider specific key instrument types in current usage in the field of photonics, laser and optics. This will be delivered in a lab course study format with each instrument being evaluated in terms of operating principle, design, and signal processing. Content: Laser design and concepts in photonics, solid state lasers, tunable laser systems, gas lasers, industrial laser systems, laser material processing, micromachining, diode lasers, mode locked fiber lasers, microscopy and photonics instrumentation. Teaching and learning in this component will be through "hands on" demonstration. This form of teaching and learning is important in acquiring competence and skills and advancing understanding by practical experience. The students learn to consider specific key instrument types in current usage in the field of photonics, laser and optics. This will be delivered in a lab course study format with each instrument being evaluated in terms of operating principle, design, and signal processing. Content: Laser design and concepts in photonics, solid state lasers, tunable laser systems, gas lasers, industrial laser systems, laser material processing, micromachining, diode lasers, mode locked fiber lasers, microscopy and photonics instrumentation. |
Practical training | 4 |
Prof. Dr.habil. Ulrich Teubner Markus Schellenberg Sabine Tiedeken Volker Braun Stefan Wild Prof. Dr.-Ing. Thomas Schüning Lars Jepsen Prof. Dr. Philipp Huke Prof. Dr. Martin Silies Georges Makdissi |
|
| 5.04.1001 |
Introduction to High-Performance Computing
Wednesday: 16:15 - 17:45, weekly (from 12/04/23) Description: |
Lecture | 2 |
Dr. Stefan Harfst |
|
| 5.04.471 Ü1 |
Exercises to Quantum Structure of Matter
Tuesday: 14:15 - 15:45, weekly (from 11/04/23) Description: |
Exercises | 2 |
Prof. Dr. Caterina Cocchi Dr. Ana Maria Valencia Garcia |
|
| 5.04.4771 |
Optoelectronics
Tuesday: 10:15 - 11:45, weekly (from 11/04/23) Description: |
Lecture | - |
Prof. Dr. Martin Silies |
|
| 5.06.999 |
PPRE - Special appointments
Friday: 14:00 - 17:45, weekly (from 14/04/23), RE Institutions Description: for Special Appointments in PPRE: Introduction, preparation graduation, excursion, etc. / invited guest lectures / career service / etc. Takes only place after specific announcement! for Special Appointments in PPRE: Introduction, preparation graduation, excursion, etc. / invited guest lectures / career service / etc. Takes only place after specific announcement! |
miscellaneous | - |
M. Sc. Eduard Knagge, Dipl.-Ing. Hans-Gerhard Holtorf, PhD Andreas Günther Dr. Herena Torio Cuauhtemoc Adrian Jimenez Martinez Martin Knipper |
|
| 5.04.4676 |
Fourier Methods
Tuesday: 08:15 - 09:45, weekly (from 11/04/23) Description: |
Lecture | - |
Prof. Dr. Martin Silies |
|
| 5.04.642 |
Electronics
Monday: 08:15 - 09:45, weekly (from 17/04/23), Location: W01 0-011 Monday: 10:15 - 11:45, weekly (from 17/04/23), Location: W03 1-156 Description: The students acquire basic competences to set-up and analyze digital and analog electronic circuits; furthermore basic knowledge for measurement methods as well as for handling measurement systems are imparted. content: logic functions and gates, digital circuit analysis and synthesis, flip-flops, digital counters and memories, A/D- and D/A converters, programmable logic devices , impedances, inductances and capacitances, complex alternating electric quantities, RCL-filter circuits, semiconductor circuits, rectifier circuits, operational amplifier circuits The students acquire basic competences to set-up and analyze digital and analog electronic circuits; furthermore basic knowledge for measurement methods as well as for handling measurement systems are imparted. content: logic functions and gates, digital circuit analysis and synthesis, flip-flops, digital counters and memories, A/D- and D/A converters, programmable logic devices , impedances, inductances and capacitances, complex alternating electric quantities, RCL-filter circuits, semiconductor circuits, rectifier circuits, operational amplifier circuits |
Lecture | - |
Prof. Dr. Andreas Haja |
|
| 5.04.232a |
Signal Processing
Wednesday: 10:15 - 11:45, weekly (from 12/04/23) Description: |
Lecture | 2 |
Prof. Dr. Philipp Huke |
|
| 5.04.201a Ü1 |
Exercises to Thermodynamics and Statistics
Friday: 10:15 - 11:45, weekly (from 21/04/23) Description: |
Exercises | - |
Prof. Dr. Niklas Nilius TutorInnen, der Physik |
|
| 5.04.4256 |
Control of Wind Turbines and Wind Farms
Wednesday: 14:15 - 15:45, weekly (from 12/04/23), Location: W33 0-003 Friday: 12:15 - 13:45, weekly (from 14/04/23), Location: W01 0-008 (Rechnerraum) Description: The course covers the main techniques used in wind turbine and wind farm control. The course is structured in five sections: Section I: Introduction to control in wind energy • Introduction to the governing physics • Control objectives in wind energy • Overview of the control system Section II: Control oriented modelling • Modelling in time domain • Modelling in frequency domain • Time and frequency response Section III: Standard wind turbine control • Torque and pitch control • Tuning of a PI controller • Stability analysis • Control of coupled systems Section IV: Advanced wind turbine control • Advanced control design approaches • State space control • Estimation techniques Section V: Wind farm control • Wake control strategies • Active power control • Power maximization The course covers the main techniques used in wind turbine and wind farm control. The course is structured in five sections: Section I: Introduction to control in wind energy • Introduction to the governing physics • Control objectives in wind energy • Overview of the control system Section II: Control oriented modelling • Modelling in time domain • Modelling in frequency domain • Time and frequency response Section III: Standard wind turbine control • Torque and pitch control • Tuning of a PI controller • Stability analysis • Control of coupled systems Section IV: Advanced wind turbine control • Advanced control design approaches • State space control • Estimation techniques Section V: Wind farm control • Wake control strategies • Active power control • Power maximization |
Lecture | - |
Dr. Vlaho Petrovic |
|
| 5.06.M211 |
Solar Energy Meteorology
Monday: 16:15 - 17:45, weekly (from 17/04/23) Tuesday: 14:15 - 15:45, weekly (from 11/04/23) Description: Lecturer from German Aerospace Center (DLR) - Institute of Networked Energy Systems - Department Energy Analysis - Team Energy Meteorology: The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with practical excercises in data handling, analysis and quality control of meteorological and solar radiation data. The exercises are based on Python programming language. Therefore basic skills of the programming language are required. The course examination is done in project work and a short presentation of results in the last lecture of the course. The project work is strongly linked to daily applications in solar energy meteorology and based on research data from DLR institute. Lecturer from German Aerospace Center (DLR) - Institute of Networked Energy Systems - Department Energy Analysis - Team Energy Meteorology: The lecture addresses applications of solar energy meteorology. As a basis, most important physical laws for solar energy meteorology as well as models for solar resource assessment and forecasting are introduced. A special emphasis will be on evaluation concepts and applications. • requirements for solar resource data from different applications • models and measurement devices for solar resource assessment and forecasting • benefits and drawbacks of different models • methods to assess the quality of solar resource data The lectures are combined with practical excercises in data handling, analysis and quality control of meteorological and solar radiation data. The exercises are based on Python programming language. Therefore basic skills of the programming language are required. The course examination is done in project work and a short presentation of results in the last lecture of the course. The project work is strongly linked to daily applications in solar energy meteorology and based on research data from DLR institute. |
Lecture | 2 |
Dr. Jorge Enrique Lezaca Galeano Dr. Thomas Schmidt |
|
| 5.04.4215 Ü2 |
Exercises to Machine Learning II – Advanced Learning and Inference Methods
Tuesday: 14:15 - 15:45, weekly (from 18/04/23), Übung Description: The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. |
Exercises | 2 |
Prof. Dr. Jörg Lücke Filippos Panagiotou Florian Hirschberger Dmytro Velychko Sebastian Salwig |
|
| 5.04.614 Ü1 |
Exercises to Electrodynamics and Optics
Tuesday: 10:15 - 11:45, weekly (from 18/04/23) Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave |
Exercises | 2 |
Ali Fallah Prof. Dr. Martin Silies |
|
| 5.06.M205 |
Laboratory: Performance of Renewable Energy
Friday: 14:00 - 18:00, weekly (from 14/04/23) Description: |
Practical training | - |
Andreas Günther Hans-Gerhard Holtorf, PhD Dr. Herena Torio Dr. rer. nat. Tanja Behrendt |
|
| 5.06.M213 |
Wind Energy Applications - from Wind Resource to Wind Farm Applications
Friday: 08:15 - 09:45, weekly (from 14/04/23) Description: The students acquire an advanced knowledge in the field of wind energy applications. Special emphasis is on connecting physical and technical skills with the know-how in the fields of logistics, management, environment, finances, and economy. Practice-oriented examples enable the students to assess and classify real wind energy projects. Special situations such as offshore wind farms and wind farms in non-European foreign countries are included to give the students an insight into the crucial aspects of wind energy also relating to non-trivial realizations as well as to operating wind farm projects. Contents: Assessment of the resource wind energy: Weibull distribution, measurement of wind speeds to determine the energy yield, fundamentals of the WAsP method, partial models of WAsP, MCP method for long-term correction of measured wind data in correlation with long-term reference data, conditions for stable, neutral and instable atmospheric conditions, wind yield assessments from wind distribution and power curve, fundamentals of determining the annual wind yield potentials of individual single-turbine units. Tracking effects and wind farms: Recovery of the original wind field in tracking flow of wind turbines, fundamentals of the Risø model, distance spacing and efficiency calculation of wind turbines in wind farms, fundamentals of offshore wind turbines, positive and negative effects of wind farms. Operating wind farms: Influences on the energy yield of the power efficiency of wind farms, three-column model of sustainability: “magic triangle”, profit optimization for increased energy production The students acquire an advanced knowledge in the field of wind energy applications. Special emphasis is on connecting physical and technical skills with the know-how in the fields of logistics, management, environment, finances, and economy. Practice-oriented examples enable the students to assess and classify real wind energy projects. Special situations such as offshore wind farms and wind farms in non-European foreign countries are included to give the students an insight into the crucial aspects of wind energy also relating to non-trivial realizations as well as to operating wind farm projects. Contents: Assessment of the resource wind energy: Weibull distribution, measurement of wind speeds to determine the energy yield, fundamentals of the WAsP method, partial models of WAsP, MCP method for long-term correction of measured wind data in correlation with long-term reference data, conditions for stable, neutral and instable atmospheric conditions, wind yield assessments from wind distribution and power curve, fundamentals of determining the annual wind yield potentials of individual single-turbine units. Tracking effects and wind farms: Recovery of the original wind field in tracking flow of wind turbines, fundamentals of the Risø model, distance spacing and efficiency calculation of wind turbines in wind farms, fundamentals of offshore wind turbines, positive and negative effects of wind farms. Operating wind farms: Influences on the energy yield of the power efficiency of wind farms, three-column model of sustainability: “magic triangle”, profit optimization for increased energy production |
Lecture | 2 |
Dr. Hans-Peter Waldl |
|
| 5.04.616 Ü2 |
Exercises Mathematical Methods for Physics and Engineering II
Wednesday: 10:15 - 11:45, weekly (from 19/04/23) Description: |
Exercises | 2 |
Henri Gode Wiebke Middelberg, M. Sc. Klaus Brümann |
|
| 5.06.M207 Ü |
Übung zu Photovoltaic Systems
Wednesday: 08:15 - 09:45, weekly (from 19/04/23) Description: |
Exercises | 2 |
Hans-Gerhard Holtorf, PhD Dr. rer. nat. Tanja Behrendt |
|
| 5.04.634 |
Applied Mechanics
Tuesday: 08:15 - 09:45, weekly (from 11/04/23), Vorlesung Description: Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory |
Lecture | 2 |
Prof. Dr.-Ing. Florian Schmidt Sven Carsten Lange |
|
| 5.04.649 |
Application of Lasers and Optics
Monday: 12:15 - 15:45, fortnightly (from 17/04/23) Description: Part I: The students get a deeper knowledge about the fundamental physical processes of light-matter interaction. They are furthermore enabled to build advanced optical resonators that emit short and ultrashort laser pulses. They are trained to distinguish between the different laser types and designs for industrial, and scientific purposes as well as consumer electronics. The students will additionally get a basic knowledge on beam guiding techniques and safety requirements. Part I: The students get a deeper knowledge about the fundamental physical processes of light-matter interaction. They are furthermore enabled to build advanced optical resonators that emit short and ultrashort laser pulses. They are trained to distinguish between the different laser types and designs for industrial, and scientific purposes as well as consumer electronics. The students will additionally get a basic knowledge on beam guiding techniques and safety requirements. |
Lecture | - |
Prof. Dr. Martin Silies |
|
| 5.04.4662 |
Ultrashort Laser Pulses
Monday: 10:15 - 11:45, fortnightly (from 24/04/23) Thursday: 12:15 - 13:45, fortnightly (from 04/05/23) Thursday: 14:15 - 15:45, fortnightly (from 04/05/23) Description: |
Lecture | - |
Prof. Dr.habil. Ulrich Teubner |
|
| 5.04.992 |
Guidance for independent scientific work
The course times are not decided yet.
Description: |
Seminar | - |
Prof. Dr. Philipp Huke Prof. Dr. Martin Silies Prof. Dr.habil. Ulrich Teubner Prof. Dr. Walter Neu, Dipl.-Phys. Markus Schellenberg Dr. rer. nat. Sandra Koch |
|
| 5.04.4076 |
Data Analysis for Current Topics in Turbulence Research
Wednesday: 12:15 - 13:45, weekly (from 12/04/23) Description: |
Seminar | 2 |
Dr. rer. nat. Michael Sinhuber |
|
| 5.06.M203 Ü |
Simulation of Renewable Energy Systems
Monday: 10:15 - 11:45, weekly (from 17/04/23) Description: Introduction to Software for the Simulation of Renewable Energy Systems Introduction to Software for the Simulation of Renewable Energy Systems |
Exercises | 2 |
Dr. Herena Torio Dr. rer. nat. Tanja Behrendt |
|
| 5.06.M205 Ü |
Übung zu Performance of Renewable Energy
Tuesday: 14:15 - 15:45, weekly (from 11/04/23) Friday: 14:15 - 15:45, weekly (from 14/04/23) Description: |
Exercises | - |
Hans-Gerhard Holtorf, PhD Martin Knipper Dr. Herena Torio Dr. rer. nat. Tanja Behrendt |
|
| 5.06.M201 S |
Sustainability of Renewable Energy
Tuesday: 10:15 - 11:45, weekly (from 11/04/23) Description: Content: - Introduction to the term sustainability - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Case study on the real life renewable energy project DESERTEC After successful completion of the seminar students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard Content: - Introduction to the term sustainability - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Case study on the real life renewable energy project DESERTEC After successful completion of the seminar students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard |
Seminar | 2 |
Dr. Herena Torio |
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| 76 Seminars | |||||
